publications

Volatile characterization on the Lunar south pole has been already carried out in the past, however most of the studies have focused their investigations on large craters. In these studies a combination of radar, laser altimeter and temperature data has been used.

In this abstract we present an approach to analyze a Digital Terrain Model (DTM) located at the Lunar south pole using a web client. The aim of this paper is to describe the structure of the project which involves a server (database) and a client (web interface) side. A case study is proposed where the tool will be evaluated to calculate illumination conditions. The analyzed area is located on the south pole of the Moon where illumination has been exhaustively studied. The results will be cross-validated with previous studies in order determine their robustness.

In this abstract we present an approach to analyze a Digital Terrain Model (DTM) located at the Lunar south pole using a web client. The aim of this paper is to describe the structure of the project which involves a server (database) and a client (web interface) side. A case study is proposed where the tool will be evaluated to calculate illumination conditions. The analyzed area is located on the south pole of the Moon where illumination has been exhaustively studied. The results will be cross-validated with previous studies in order determine their robustness.

As partner of the EU funded EarthServer2 project, ECMWF is exploring the provision of an online data exploration and analysis system based on the Open Geospatial Consortium (OGC) standards. Using these standards has the potential to open up services to a wider audience in users domains outside meteorology and climatology.

ECMWF is partner of the EU-funded (Horizon2020) EarthServer-2 project and is setting up a web service that facilitates climate data access, exploration, analysis and visualisation based on Open Geospatial Consortium (OGC) standards. By doing this, ECMWF data shall become easier accessible to researchers and decision-makers of the MetOcean and GIS community.

Earth-Science data are composite, multidimensional and of significant size, and as such, continue to pose a number of on-going problems regarding their management. With new and diverse information sources emerging as well as rates of generated data continuously increasing, a persistent challenge becomes more pressing: to make the information existing in multiple heterogeneous resources readily available. The widespread use of the XML data-exchange format has enabled the rapid accumulation of semi-structured metadata for Earth-Science data.